polca_cheating
1,276 responses from 319 respondents to 4 items.
About this table
| Description | Responses from undergrads to questions about cheating behaviors |
| Reference | Dayton, C. Mitchell. 1998. Latent Class Scaling Analysis. Thousand Oaks, CA: SAGE Publications. |
| DOI | https://doi.org/10.4135/9781412984720.n6 |
| Licence | GPL-3.0 |
| Source data | https://cran.r-project.org/web/packages/poLCA/index.html |
Size and shape
| Responses | 1,276 |
| Respondents | 319 |
| Items | 4 |
| Response categories | 2 |
| Responses per respondent | 4 |
| Responses per item | 319 |
| Density | 1 |
| Longitudinal | FALSE |
Classification
| age range | Adult (18+) |
| sample | Educational |
| construct type | Behavioral, Cognitive/educational |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | GPA and chronic cheating |
Item text
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Responses from undergrads to questions about cheating behaviors |
| Mean words per item | 14.500 |
| Mean characters per item | 69.250 |
| Mean characters per response | 2.500 |
| Flesch-Kincaid grade level | 46.333 |
Get the data
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("polca_cheating")
# Python
pip install irw
import irw
df = irw.fetch("polca_cheating")
Version and provenance
| IRW version | v393 |
| Redivis dataset | item_response_warehouse v53.0 |
| Redivis dataset DOI | 10.57761/4g08-xt41 |
| Manifest pin for this IRW version | v53.0 |
| Metadata source | irw_meta v23.0 |